@chris_j_paxton Molmospaces has a params column, which drives the relative sample (in)efficiency of learning form video home.
We are not even at capacity yet for VLAs and its mostly data and representations it seems
@ThePrimeagen There are things i would never bother doing around periodic maintenance of various low prio repos and note dumps i have, which the agents are now doing. I guess thats infinite-x speedup, or 3.27 infinities in freedom units
We're launching the microagi Research Fellowship.
Fellows get up to $2M in compute, robotics hardware, our evals, and one of the largest physical AI datasets ever assembled. You build in our lab, with our team, alongside partners like Unitree, Nvidia, and Google Cloud.
The hard part of AI left is physical. That's the part we're working on. Come build with us.
One more thing: know someone who belongs here? Reply with their name. If they get in, we send you 10.000 USD
The two main takeaways from the #ICRA2026 keynotes RL track, to bring robots it into production, in case you missed it, were:
"Is RL even needed? (no)" and "Just RL all the way".
I do agree
This hand is a hidden gem, not quite Sharpa yet but we liked it a lot and one of the few that visualized shear forces nicely. Here is a vid of me playing around with it
So pretty. Xynova's Flex 2 hybrid-driven dexterous hand at #ICRA2026
It's almost like a human hand. I hope that one day it can serve as a prosthetic hand for those in need.
https://t.co/IBbn4UpW6S
@simonkalouche In fact all serious ones that respect IP and privacy do. If you are a model lab running a global operation to collect data is probably not your core business.
Thought experiment: if every company suddenly had infinite free compute, what new products would emerge?
My take: with very few exceptions, not much would change. The bottleneck is figuring out what people want, and it’s not so easy to apply compute to solve that.
AI2 are consistently the most open players in AI for several years now. From RLVR, tulu, molmo, to evals molmospaces, rewardbench, to VLAs molmobot trained in sim, molmoact1/2 - just persistently good research taste and they don't shy away from risky and challenging research.
MolmoAct 2 artifacts have been downloaded 400K+ times in under 1 month.
Today we're opening up the full code & training data: everything you need to fine-tune or build on our fully open robotics foundation model. 🧵
You can’t lift a fridge with just your hands. Your whole body needs to conform to its shape, and bear the load between your arms and torso.
Here, @BostonDynamics' Atlas uses proprioception to manage the whole-body interaction and adapt to a shifting 100+ lb load. Enabling this type of high performance manipulation is exactly why we walked away from what was arguably the world’s best implementation of MPC for humanoids, and shifted entirely to RL without looking back.
This level of whole-body controls is a fundamental building block of physical intelligence and key to the value proposition of humanoids.
More technical details in:
Blog: https://t.co/oIRjVfh7jJ
Behind the scenes video: https://t.co/LgaImMAyhX